mlx-vlm and SiLLM
MLX-VLM extends MLX's capabilities to multimodal vision-language tasks, while SiLLM provides a higher-level abstraction layer for training and deploying text-only LLMs on the same MLX foundation, making them complementary tools serving different model types within the Apple Silicon ecosystem.
Maintenance
25/25
Adoption
25/25
Maturity
25/25
Community
21/25
Maintenance
2/25
Adoption
10/25
Maturity
16/25
Community
15/25
Stars: 2,287
Forks: 293
Downloads: 229,572
Commits (30d): 53
Language: Python
License: MIT
Stars: 284
Forks: 26
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
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Stale 6m
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About mlx-vlm
Blaizzy/mlx-vlm
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
About SiLLM
armbues/SiLLM
SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.
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